Vulnerabilities > Deserialization of Untrusted Data
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2024-07-01 | CVE-2024-36984 | Deserialization of Untrusted Data vulnerability in Splunk In Splunk Enterprise versions below 9.2.2, 9.1.5, and 9.0.10 on Windows, an authenticated user could execute a specially crafted query that they could then use to serialize untrusted data. | 8.8 |
| 2024-06-25 | CVE-2024-5016 | Deserialization of Untrusted Data vulnerability in Progress Whatsup Gold In WhatsUp Gold versions released before 2023.1.3, Distributed Edition installations can be exploited by using a deserialization tool to achieve a Remote Code Execution as SYSTEM. The vulnerability exists in the main message processing routines NmDistributed.DistributedServiceBehavior.OnMessage for server and NmDistributed.DistributedClient.OnMessage for clients. | 7.2 |
| 2024-06-19 | CVE-2024-5649 | Deserialization of Untrusted Data vulnerability in Webhuntinfotech Universal Slider The Universal Slider plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.6.5 via deserialization of untrusted input 'fsl_get_gallery_value' function. | 8.8 |
| 2024-06-13 | CVE-2024-4371 | Deserialization of Untrusted Data vulnerability in Codexpert Codesigner The CoDesigner WooCommerce Builder for Elementor – Customize Checkout, Shop, Email, Products & More plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 4.4.1 via deserialization of untrusted input from the recently_viewed_products cookie. | 9.8 |
| 2024-06-04 | CVE-2024-37052 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with. | 8.8 |
| 2024-06-04 | CVE-2024-37053 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with. | 8.8 |
| 2024-06-04 | CVE-2024-37054 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with. | 8.8 |
| 2024-06-04 | CVE-2024-37055 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with. | 8.8 |
| 2024-06-04 | CVE-2024-37056 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with. | 8.8 |
| 2024-06-04 | CVE-2024-37057 | Deserialization of Untrusted Data vulnerability in Lfprojects Mlflow Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with. | 8.8 |